Martin Hahmann

发表

Pre analysis and clustering of uncertain data from manufacturing processes

Wolfgang Lehner, Dirk Habich, Peter Benjamin Volk, 2008, LWA.

Efficient Approximate OLAP Querying Over Time Series

Torben Bach Pedersen, Wolfgang Lehner, Martin Hahmann, 2016, IDEAS.

Wolfgang Lehner, Dirk Habich, Martin Hahmann, 2016, it Inf. Technol..

Report of the symposium "Lernen, Wissen, Adaptivität 2011" of the GI special interest groups KDML, IR and WM, LWA 2011, Magdeburg, 28.-30.September 2011

Eyke Hüllermeier, Wolfgang Lehner, Bernhard Preim, 2011, LWA.

Modular Data Clustering - Algorithm Design beyond MapReduce

Wolfgang Lehner, Dirk Habich, Martin Hahmann, 2014, EDBT/ICDT Workshops.

Feedback-driven data clustering

Martin Hahmann, 2013 .

Big Data Analysis Techniques

Martin Hahmann, M. Hahmann, 2019, Encyclopedia of Big Data Technologies.

Modeling Large Time Series for Efficient Approximate Query Processing

Torben Bach Pedersen, Wolfgang Lehner, Martin Hahmann, 2015, DASFAA Workshops.

Generating What-If Scenarios for Time Series Data

Wolfgang Lehner, Martin Hahmann, Lars Kegel, 2017, SSDBM.

Exploiting big data in time series forecasting: A cross-sectional approach

Wolfgang Lehner, Martin Hahmann, Claudio Hartmann, 2015, 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Parameterfreies Clustering mittels Multi-Level Ansatz

Wolfgang Lehner, Dirk Habich, Martin Hahmann, 2007, LWA.

Leveraging gamification in demand dispatch systems

Martin Hahmann, Lars Dannecker, Benjamin Gnauk, 2012, EDBT-ICDT '12.

2015 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2015, Campus des Cordeliers, Paris, France, October 19-21, 2015

Wolfgang Lehner, Jingyuan Zhang, Qingbo Hu, 2015, DSAA.

CSAR: the cross-sectional autoregression model for short and long-range forecasting

Wolfgang Lehner, Dirk Habich, Martin Hahmann, 2019, International Journal of Data Science and Analytics.

Feature-driven Time Series Generation

Wolfgang Lehner, Martin Hahmann, Lars Kegel, 2017, Grundlagen von Datenbanken.

Feature-based comparison and generation of time series

Wolfgang Lehner, Martin Hahmann, Lars Kegel, 2018, SSDBM.

Systematical Evaluation of Solar Energy Supply Forecasts

Wolfgang Lehner, Martin Hahmann, Hilko Donker, 2014, DARE.

Touch it, Mine it, View it, Shape it

Wolfgang Lehner, Dirk Habich, Martin Hahmann, 2011, BTW.

Web-based Benchmarks for Forecasting Systems: The ECAST Platform

Wolfgang Lehner, Martin Hahmann, Claudio Hartmann, 2016, SIGMOD Conference.

Challenges for Context-Driven Time Series Forecasting

Wolfgang Lehner, Martin Hahmann, Claudio Hartmann, 2016, ACM J. Data Inf. Qual..

Large-Scale Data Analytics Using Ensemble Clustering

Wolfgang Lehner, Dirk Habich, Martin Hahmann, 2011 .

Browsing Robust Clustering-Alternatives

Wolfgang Lehner, Dirk Habich, Martin Hahmann, 2011, MultiClust@ECML/PKDD.

CSAR: The Cross-Sectional Autoregression Model

Wolfgang Lehner, Dirk Habich, Martin Hahmann, 2017, 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Clustering Uncertain Data with Possible Worlds

Wolfgang Lehner, Dirk Habich, Peter Benjamin Volk, 2009, 2009 IEEE 25th International Conference on Data Engineering.

How to Control Clustering Results? Flexible Clustering Aggregation

Wolfgang Lehner, Dirk Habich, Peter Benjamin Volk, 2009, IDA.

Large-Scale Time Series Analytics

Wolfgang Lehner, Martin Hahmann, Claudio Hartmann, 2018, Datenbank-Spektrum.

One Clustering Process Fits All - A Visually Guided Ensemble Approach

Wolfgang Lehner, Dirk Habich, Maik Thiele, 2010, LWA.

Evolving Ensemble-Clustering to a Feedback-Driven Process

Wolfgang Lehner, Dirk Habich, Martin Hahmann, 2010, 2010 IEEE International Conference on Data Mining Workshops.

Drift-Aware Ensemble Regression

Wolfgang Lehner, Dirk Habich, Peter Benjamin Volk, 2009, MLDM.

Visual Decision Support for Ensemble Clustering

Wolfgang Lehner, Dirk Habich, Martin Hahmann, 2010, SSDBM.

Template-based Time Series Generation with Loom

Wolfgang Lehner, Martin Hahmann, Lars Kegel, 2016, EDBT/ICDT Workshops.

Energy efficiency enhancements for semiconductors, communications, sensors and software achieved in cool silicon cluster project

Gerhard Fettweis, Corrado Carta, Frank Ellinger, 2013 .